⚡ Energy consumption metrology agent. Let "scaph" dive and bring back the metrics that will help you make your systems and applications more sustainable !
#计算机科学#Kepler (Kubernetes-based Efficient Power Level Exporter) uses eBPF to probe performance counters and other system stats, use ML models to estimate workload energy consumption based on these stats, and...
This custom component for Home Assistant will add crucial features to your climate-controlling TRV (Thermostatic Radiator Valves) to save you the work of creating automations to make it smart. It comb...
翻译 - 这个 Home Assistant 的自定义组件将为您的气候控制 TRV（恒温散热器阀）添加关键功能，以节省您创建自动化以使其变得智能的工作。它结合了室温传感器、门窗传感器、天气预报或环境温度探头，以决定何时需要加热并自动校准您的 TRV，以修复在散热器附近进行的不精确测量。
Docker container lazy loading
Energy Management System
#Awesome#A paper list of spiking neural networks, including papers, codes, and related websites. 本仓库收集脉冲神经网络相关的顶会顶刊论文和代码，正在持续更新中。
An open source python package for implementing and developing standard methods for calculating normalized metered energy consumption and avoided energy use.
Whole building non-residential hourly energy meter data from the Great Energy Predictor III competition
Reduce the environmental footprint of your software programs with SonarQube
A collection of non-residential buildings for performance analysis and algorithm benchmarking
Coppers is a custom test harnass for Rust that measures the energy usage of your test suite.
#Awesome#A curation of resources, projects, and communities related to permacomputing.
🌍 Tracarbon tracks your device's energy consumption and calculates your carbon emissions using your location.
Offical code of "QKFormer: Hierarchical Spiking Transformer using Q-K Attention" (NeurIPS 2024，Spotlight 3%)
#计算机科学#Spikingformer: Spike-driven Residual Learning for Transformer-based Spiking Neural Network
Add Runtime Compiled C++ to the Dear ImGui example using the GLFW and OpenGL backend - with power saving
Progetto per gestire in modo automatico gli assorbimenti degli elettrodomestici per evitare distacchi di corrente
A tool for estimating the future energy use, carbon emissions, and capital and operating cost impacts of energy efficiency and demand flexibility technologies in the U.S. residential and commercial bu...